Qibin Wei
Papers
2
Total Citations
4
H-Index
2
About
Qibin Wei is a robotics researcher whose work focuses on enhancing the locomotion and stability of quadruped robots, particularly on challenging and uneven terrains. His key contributions lie in the intersection of terrain estimation, control systems, and motion optimization for legged robotics. In his highly regarded 2022 paper, "Terrain Estimation with Least Squares and Virtual Model Control for Quadruped Robots," Wei introduced a novel method that allows robots to estimate slope and terrain characteristics using only onboard joint encoders, force sensors, and an IMU—eliminating the need for visual sensors. This approach, which has garnered 2 citations, significantly improves a robot’s ability to maintain stable walking on sloped surfaces. Building on this, his 2023 work, "Body Trajectory Optimisation of Walking Gait for a Quadruped Robot," refined motion planning by optimizing objective functions and constraints to ensure smoother leg transitions and more accurate trajectory tracking. Together, these studies demonstrate Wei’s commitment to making quadruped robots more autonomous and robust in real-world environments, advancing the field of legged locomotion without reliance on expensive or fragile visual systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Body trajectory optimisation of walking gait for a quadruped robot2 citations · 2023